
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "11"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 116 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 110 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	67.974271	89.585900	143.708493	160.965667	20.975881	38.160663	49.985194	111.484086	0.0189	0.0168	0.0016	1.151076	1.123348
2459593	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	202.022663	94.781378	161.456853	188.645621	38.725128	79.628320	143.690418	233.741382	0.0193	0.0177	0.0030	1.137402	1.105885
2459592	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	31.427013	9.886567	81.934471	71.613272	41.438751	111.440434	93.655767	112.244401	0.0194	0.0182	0.0006	nan	nan
2459591	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	301.579495	98.817114	215.325422	220.007741	35.612449	55.739995	177.478108	355.625632	0.0197	0.0169	0.0026	1.148646	1.104414
2459590	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	320.714083	199.249633	201.745663	208.234264	33.764620	51.899244	188.278684	288.535194	0.0183	0.0169	0.0016	1.184462	1.149383
2459589	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	332.117681	343.853789	inf	inf	19.955631	55.669644	86.872966	405.295894	nan	nan	nan	0.000000	0.000000
2459588	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	187.481259	102.376888	221.684257	223.638096	23.143802	40.483737	55.540429	66.289371	0.0180	0.0176	0.0004	1.143277	1.122787
2459587	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	324.410580	168.953937	336.914182	332.535970	27.083113	76.695510	235.328810	572.504953	nan	nan	nan	0.000000	0.000000
2459586	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	307.710177	319.842999	inf	inf	10.354580	11.700025	196.680143	597.699199	nan	nan	nan	0.000000	0.000000
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	111.281848	69.926560	42.467838	48.465403	18.271397	10.290416	424.943759	710.613252	0.0193	0.0175	0.0016	0.000000	0.000000
2459584	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	221.549377	134.314983	268.699559	261.303281	32.804368	22.599320	134.446309	137.716706	0.0191	0.0173	0.0015	0.000000	0.000000
2459583	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459582	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	291.277419	62.899567	136.809289	74.081958	85.113396	49.333372	433.199213	314.478801	0.0197	0.0170	0.0016	1.129864	1.138022
2459581	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	265.196729	87.496833	98.673170	84.995299	35.198491	40.628182	288.372176	348.544627	0.0192	0.0169	0.0021	1.106324	1.106200
2459580	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	246.032978	79.478966	106.413537	87.539770	42.029449	47.975484	292.155325	283.152961	0.0186	0.0171	0.0012	1.117831	1.118927
2459579	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	134.312894	67.959740	103.232921	92.947794	46.900082	48.068392	624.459108	457.744529	0.0186	0.0171	0.0013	1.079258	1.076814
2459578	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	18.143071	10.249865	44.469487	39.265454	250.093921	188.390280	1174.972057	1006.850060	0.0196	0.0171	0.0028	nan	nan
2459577	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	370.742556	84.673085	121.205327	78.102896	37.176858	55.961619	231.248002	372.566459	0.0195	0.0167	0.0035	1.115331	1.118185
2459576	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	279.521903	66.406966	84.203059	59.501596	30.009697	43.681997	177.537543	402.594045	0.0188	0.0170	0.0024	1.087966	1.089060
2459575	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	137.472465	59.260582	71.174987	57.266049	33.934952	21.088717	61.155318	33.042845	0.0192	0.0177	0.0008	0.931660	0.937078
2459574	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	153.635355	72.121786	65.556280	60.398741	50.425956	61.804300	257.342751	262.645130	0.0187	0.0171	0.0014	0.997621	0.993738
2459573	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	163.895645	89.128757	104.687920	111.500910	40.189866	63.730166	307.838871	561.654693	0.0191	0.0170	0.0022	0.733269	0.725669
2459572	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	214.457773	82.754223	69.710789	58.560882	25.270786	37.684563	541.729199	708.435723	0.0183	0.0172	0.0012	1.004984	1.003563
2459571	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	13.307700	10.085524	40.228985	42.520879	134.708740	212.660557	905.200108	1326.733216	0.0187	0.0170	0.0021	nan	nan
2459570	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	223.419125	114.528029	83.404349	84.572533	16.646521	29.902401	431.044140	576.386181	0.0184	0.0169	0.0017	0.000000	0.000000
2459569	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	161.591154	76.499606	83.849824	71.148171	28.352058	27.187054	39.018018	34.459573	0.0182	0.0172	0.0007	1.010488	1.010394
2459566	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	207.012623	60.929869	89.217231	69.126552	54.744559	39.558316	221.378720	180.127553	0.0191	0.0173	0.0014	0.966769	0.969426
2459565	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	0.674491	0.674491	0.714579	0.714579	1.371796	1.371796	0.680147	0.680147	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	128.377350	75.911739	77.096424	76.349261	9.194121	9.135087	208.414588	192.193408	0.0191	0.0171	0.0018	1.107991	1.104090
2459563	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	211.150627	74.245051	166.131817	144.510760	40.002527	32.603597	293.725108	299.106837	0.0190	0.0174	0.0018	0.000000	0.000000
2459562	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459561	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	163.545344	62.053224	50.674438	36.104332	17.371287	12.766188	519.677562	342.809952	0.0180	0.0176	0.0007	1.069832	1.073487
2459560	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	195.743492	43.942056	50.303254	36.570436	5.401739	8.251995	160.829258	246.973539	0.0185	0.0173	0.0013	0.967283	0.963526
2459559	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459558	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	224.397072	71.874039	89.371542	79.352297	42.451567	42.302652	324.731848	392.346105	0.0191	0.0169	0.0012	1.125332	1.127466
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0190	0.0182	0.0007	nan	nan
2459556	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	250.069171	77.100931	104.633911	90.492749	41.339799	48.920019	809.155734	919.531104	0.0181	0.0168	0.0027	1.124046	1.124194
2459554	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0184	0.0165	0.0026	nan	nan
2459553	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0180	0.0170	0.0011	nan	nan
2459552	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	256.357970	95.345410	130.411563	117.396292	64.110455	55.153707	360.680130	367.952215	0.0187	0.0167	0.0020	0.000000	0.000000
2459551	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459550	RF_maintenance	-	99.18%	99.18%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0393	0.0377	0.0017	nan	nan
2459549	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	207.957603	67.974703	99.746840	85.529667	41.134719	47.575069	402.166366	418.499651	0.0184	0.0172	0.0021	1.139324	1.141319
2459542	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	170.664246	85.274328	189.696427	173.000203	4.763086	5.170456	301.092668	385.277817	0.0178	0.0170	0.0011	1.119400	1.120104
2459541	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	10.902909	10.673016	42.963132	43.591288	653.896594	644.511277	47.063379	34.082289	0.0194	0.0177	0.0015	1.105669	1.104209
2459540	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	204.459649	89.726947	46.381069	39.773994	19.122055	34.467051	148.661296	158.034311	0.0186	0.0173	0.0012	1.129822	1.132329
2459536	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	302.805354	134.549468	179.434474	147.251105	77.147013	79.599845	1011.161406	664.461052	0.0181	0.0175	0.0005	1.096069	1.097947
2459535	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	183.441585	82.735891	49.751269	38.869236	37.344750	45.828756	295.094943	196.469638	0.0180	0.0175	0.0007	1.112262	1.118784
2459534	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	140.000905	67.924133	38.570402	35.419910	19.376667	22.211878	184.308864	189.170454	0.0182	0.0178	0.0005	1.118599	1.118824
2459533	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	282.442915	104.227816	103.568490	86.201500	37.031581	52.655771	441.394855	600.543440	0.0182	0.0172	0.0008	1.129226	1.130389
2459532	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	266.773775	122.337933	123.123407	116.644920	46.292572	104.022607	277.960874	471.945509	0.0189	0.0170	0.0013	1.140170	1.138908
2459530	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	162.047942	57.628472	40.874666	36.292477	18.365773	20.613541	225.322723	305.016318	0.0184	0.0169	0.0014	1.134928	1.139977
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	199.189787	211.741581	133.302783	168.987949	166.717409	280.067218	263.546460	596.405703	0.0184	0.0169	0.0008	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	279.970626	129.759150	138.779776	118.766810	78.312649	71.291545	630.775251	394.258844	nan	nan	nan	1.409679	1.415601
2459522	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	315.251007	100.172649	171.932094	125.310936	161.115182	130.915836	718.208124	547.373936	0.0187	0.0175	0.0007	1.118373	1.116827
2459513	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	14.868507	12.274073	40.945605	40.409372	235.966251	268.400083	1158.462497	1091.362362	0.0204	0.0185	0.0014	nan	nan
2459508	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	220.061853	85.814166	122.695104	107.747514	50.934397	59.705222	74.361323	80.362894	0.0187	0.0181	0.0010	0.000000	0.000000
2459505	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	142.302657	171.945390	105.132739	115.855157	67.178666	89.297719	381.304718	452.146470	0.0120	0.0104	0.0053	1.115102	1.107747
2459503	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	177.560754	102.088230	197.626439	173.722424	67.063307	53.301743	527.866493	432.353740	0.0092	0.0085	0.0068	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 11 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 11, Node 0:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 11: 2459642

Antenna 11: 2459640

Antenna 11: 2459639

Antenna 11: 2459637

Antenna 11: 2459634

Antenna 11: 2459633

Antenna 11: 2459632

Antenna 11: 2459631

Antenna 11: 2459630

Antenna 11: 2459629

Antenna 11: 2459628

Antenna 11: 2459627

Antenna 11: 2459626

Antenna 11: 2459625

Antenna 11: 2459624

Antenna 11: 2459623

Antenna 11: 2459622

Antenna 11: 2459621

Antenna 11: 2459620

Antenna 11: 2459619

Antenna 11: 2459618

Antenna 11: 2459617

Antenna 11: 2459616

Antenna 11: 2459615

Antenna 11: 2459614

Antenna 11: 2459613

Antenna 11: 2459612

Antenna 11: 2459611

Antenna 11: 2459610

Antenna 11: 2459609

Antenna 11: 2459608

Antenna 11: 2459607

Antenna 11: 2459605

Antenna 11: 2459604

Antenna 11: 2459603

Antenna 11: 2459602

Antenna 11: 2459598

Antenna 11: 2459597

Antenna 11: 2459596

Antenna 11: 2459595

Antenna 11: 2459594

Antenna 11: 2459593

Antenna 11: 2459592

Antenna 11: 2459591

Antenna 11: 2459590

Antenna 11: 2459589

Antenna 11: 2459588

Antenna 11: 2459587

Antenna 11: 2459586

Antenna 11: 2459585

Antenna 11: 2459584

Antenna 11: 2459583

Antenna 11: 2459582

Antenna 11: 2459581

Antenna 11: 2459580

Antenna 11: 2459579

Antenna 11: 2459578

Antenna 11: 2459577

Antenna 11: 2459576

Antenna 11: 2459575

Antenna 11: 2459574

Antenna 11: 2459573

Antenna 11: 2459572

Antenna 11: 2459571

Antenna 11: 2459570

Antenna 11: 2459569

Antenna 11: 2459566

Antenna 11: 2459565

Antenna 11: 2459564

Antenna 11: 2459563

Antenna 11: 2459562

Antenna 11: 2459561

Antenna 11: 2459560

Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶